Skip to content

The SaaSpocalypse Is "Over." The Problems That Caused It Aren't.

The software index recovered because a handful of AI infrastructure names dragged cap-weighted averages green. The median software company is still climbing out of a hole. Four months of data prove the structural repricing is permanent.

· 12 min read

On May 29, 2026, Jason Lemkin of SaaStr declared the SaaSpocalypse “officially over.” The public software basket was back to green at the index level. After the roughest start for software stocks in history, the bleeding had stopped. 1 Source 1 Jason Lemkin / SaaStr, “The SaaSpocalypse Is Officially Over. Public Software Is Back to Green at the Index Level. But The Gains Aren’t Remotely Even.” May 29, 2026. YTD stock performance data and sector analysis.

It took less than 24 hours for the narrative to spread. Business Insider ran “SaaSpocalypse Over? Software Stocks Stage AI Rebound.” LinkedIn filled with takes about buying opportunities. Relief washed over the SaaS ecosystem like it was February again and everything was fine.

The headline is technically accurate and strategically misleading. The index recovered because a handful of AI infrastructure names dragged the cap-weighted average into positive territory. The median software company is still climbing out of a deep hole. And the structural forces that caused the crash (seat compression, AI displacement, the collapse of per-seat growth) haven’t changed at all.

We called this in our original analysis, The SaaSpocalypse, when $2 trillion in value evaporated and the market asked a question that still has no comfortable answer: if an AI agent can do the work of the people paying for SaaS seats, what happens to companies that monetize headcount?

Four months later, the answer is clearer. It’s not the one the “SaaSpocalypse is over” headline implies.


01 / The index

What does the software index recovery actually mean?

At the index level, the SaaSpocalypse is over. The cap-weighted public software basket is green for 2026. But the dispersion underneath tells a completely different story.

The winners:

CompanyYTD PerformanceCategory
DigitalOcean (DOCN)+227%Cloud infrastructure
Datadog (DDOG)+76%Observability / AI monitoring
CrowdStrike (CRWD)+55%Cybersecurity
Okta (OKTA)+41%Identity / security
Twilio (TWLO)+33%Communications infrastructure

The losers:

CompanyYTD PerformanceCategory
Klaviyo (KVYO)-52%Marketing automation (seat-based)
HubSpot (HUBS)-46%CRM / marketing platform (seat-based)
Monday.com (MNDY)-45%Project management (seat-based)
Zscaler (ZS)-39%Security (mixed)
Atlassian (TEAM)-36%Collaboration / PM (seat-based)

Source: SaaStr, May 2026 1 Source 1 Jason Lemkin / SaaStr, “The SaaSpocalypse Is Officially Over. Public Software Is Back to Green at the Index Level. But The Gains Aren’t Remotely Even.” May 29, 2026. YTD stock performance data and sector analysis.

The spread between the best and worst performer is nearly 280 points. That is not a rising tide raising all ships. That is the market making a specific, structural bet about which software survives the AI transition and which gets compressed.

The pattern is unmistakable. Companies that own infrastructure, observability, and the compute layer are getting paid. These are the picks and shovels of the AI buildout. When every enterprise is racing to deploy agents, somebody has to monitor them, secure them, and run them somewhere. That somebody is winning.

Companies that sell per-seat application software are getting discounted. Even when their numbers are fine. HubSpot is down 46% on the year. It just grew revenue 23% with 83%+ gross margins. 2 Source 2 HubSpot Q1 2026 earnings release, May 7, 2026. Revenue: $881M (+23% YoY). Non-GAAP EPS: $2.72 (+53% YoY). Non-GAAP operating margin: 18%. ~300,000 customers (+16% YoY). GAAP net income: ~$32.6M. The business is excellent. The market is pricing the model risk, not the quarter.


02 / The repricing

Why did software valuations collapse to historic lows?

In March 2026, software hit a number never recorded in the modern era: a 22.7x forward P/E multiple. 3 Source 3 Jason Lemkin / SaaStr, “The SaaS Rout of 2026 Is Even Worse Than You Think. For the First Time Ever, Software Now Trades at a Discount to the S&P 500.” March 2026. Software forward P/E multiple history: 84.1x (2020) → 22.7x (March 2026). IGV ETF data. Orlando Bravo quote on “warranted” repricing. Below the S&P 500. For the first time in the history of cloud computing.

Look at the trajectory:

PeriodSoftware Forward P/Evs. S&P 500
May 2020 – May 202284.1x~4x the S&P 500
June 2022 – June 202443.2x~2x premium
July 2024 – June 202533.6xPremium shrinking
July 2025 – Dec 202531.2xPremium eroding
Jan 2026 – March 202622.7xBelow the S&P 500

Source: SaaStr, March 2026

The IGV ETF (iShares Expanded Tech-Software) fell over 21% year-to-date by late March and roughly 30% from its September 2025 peak. That’s $2 trillion in market cap erased. 4 Source 4 Fortune, “The SaaSpocalypse is here,” February 10, 2026. Bloomberg Terminal data. ~$2 trillion in total software sector market cap erased.

This is not the dot-com bust, where speculative valuations unwound. It’s not 2008, where everything fell together. This time, as Lemkin noted, “the market is not saying ‘software is temporarily overvalued.’ It is saying ‘we’re not sure the earnings growth assumptions embedded in even 22x are correct.’”

That’s a structural repricing. Not a cyclical correction. The “recovery” hasn’t undone it. The index bounced off the bottom because infrastructure names ripped higher. The median software company is still trading at or near those compressed levels. The premium that software commanded for two decades, built on recurring revenue, high margins, and seat-driven growth, isn’t coming back for the companies where those assumptions are breaking.


03 / The case study

What do HubSpot’s Q1 2026 earnings reveal about the SaaS market?

If you want to understand the SaaSpocalypse in one earnings report, look at HubSpot’s Q1 2026. The numbers were strong by any traditional measure. Revenue hit $881 million, up 23% year-over-year. Non-GAAP EPS came in at $2.72, beating estimates by 8%. Operating margin expanded to 18%. Customer count grew 16% to 300,000. The company returned to GAAP profitability for the first time. 2 Source 2 HubSpot Q1 2026 earnings release, May 7, 2026. Revenue: $881M (+23% YoY). Non-GAAP EPS: $2.72 (+53% YoY). Non-GAAP operating margin: 18%. ~300,000 customers (+16% YoY). GAAP net income: ~$32.6M.

The stock dropped 12% after hours. 5 Source 5 ChartMill / StockStory, reporting on HubSpot post-earnings selloff, May 7, 2026. Stock dropped ~12% after hours despite Q1 beat.

Why? The Q2 guidance: $897–898 million in revenue, implying 18% year-over-year growth. 6 Source 6 HubSpot Q2 2026 revenue guidance: $897–898M (~18% YoY growth, decelerating from Q1’s 23%). Full-year 2026 guidance: $3.700–$3.708B. That’s a deceleration from 23%. For a company priced on the assumption that seat-driven growth compounds indefinitely, a downshift from 23% to 18% isn’t a miss. It’s a thesis change.

HubSpot is the textbook case for what’s happening across the seat-based SaaS industry. The business is healthy. The product still works. Customers are still buying. But the growth rate is decelerating because the structural tailwind that powered it (more employees means more seats means more revenue) is weakening under the pressure of AI-driven seat compression and tighter enterprise budgets.

Down 46% YTD with revenue growing 23%. That’s not a company in trouble. That’s a business model being repriced.

Compare Salesforce. Revenue hit $11.13 billion, up 13%. Beat expectations. But the story that mattered wasn’t core CRM growth. It was Agentforce, their AI agent platform, hitting $1.2 billion in ARR, up 205% year-over-year. 7 Source 7 Salesforce Q1 FY2027 earnings release (quarter ended April 30, 2026), May 27, 2026. Revenue: $11.13B (+13% YoY). Agentforce ARR: $1.2B (+205% YoY). Combined AI and data ARR: ~$3.4B (+200% YoY). Non-GAAP EPS: $3.88 (beat by ~$0.76). The market rewarded the AI-native pivot, not the legacy seat-based revenue. Even Salesforce is redefining its growth engine away from seats.

The lesson for mid-market buyers: if the vendor you depend on is being repriced because its growth model is under structural threat, that repricing eventually reaches your contract. It might look like aggressive renewals to compensate for slowing new business. It might look like reduced investment in the core product as resources shift to AI experiments. Whatever form it takes, the vendor’s structural pressure becomes your operational risk.


04 / The split

What does the software market split mean for buyers?

The SaaSpocalypse didn’t end. It bifurcated.

On one side: infrastructure, security, observability, and consumption-based businesses. These are the companies where AI deployment creates demand. More agents means more compute, more monitoring, more security. They benefit from AI as a growth multiplier.

On the other side: application software with per-seat pricing, where AI threatens to replace the humans who hold the seats. These companies are fighting a rearguard action, rebranding as “AI-powered” while the market judges whether bolt-on AI capabilities are enough to offset the headwinds.

Forrester framed it bluntly: “SaaS as we know it is dead.” 8 Source 8 Forrester, “SaaS As We Know It Is Dead: How To Survive The SaaS-pocalypse!” February 11, 2026. Not that SaaS spending disappears. They project global SaaS spending growing from $318 billion in 2025 to $512 billion by 2028. 9 Source 9 Forrester global SaaS spending forecast: $318B (2025) → $512B (2028) → $576B (2029). From same February 2026 analysis. The dollars grow. But where they flow is changing. Growth is shifting from seat-based application software to AI infrastructure, consumption-based platforms, and AI-native architectures.

The startup layer is collapsing in parallel. AI wrapper companies (thin interfaces over foundation models, no proprietary data, no deep integration) face failure rates above 90%. 10 Source 10 Multiple industry analyses project 80–90%+ failure rates for AI wrapper startups, with ~3% long-term survival for pure wrappers (McKinsey). ~3,800 shutdowns in 2025 + ~1,800 in early 2026 reported across various tracking sources. The venture market has split the same way: AI deals captured 65.6% of U.S. venture dollar volume in 2025, roughly $222 billion of $339 billion total. 11 Source 11 SVB / PitchBook data, 2025. AI/ML deals captured 65.6% of U.S. venture deal value (~$222B of $339B total). AI-native SaaS commands 40%+ valuation premiums over traditional SaaS. Traditional non-AI SaaS funding is flat or declining.

Orlando Bravo, founder of Thoma Bravo (the firm that spent 20+ years buying and building software businesses through private equity) said publicly that some software companies being disrupted by AI are facing “very warranted” decreases in their valuations. When the person who built his fortune on the durability of SaaS economics says the repricing is warranted, the repricing is permanent.


05 / What to do

How should mid-market companies respond to the SaaS split?

If you’re running a seat-based SaaS stack (HubSpot, Salesforce, Monday, Atlassian, or any combination) the “SaaSpocalypse is over” headline is not your signal to relax. It’s your signal to act.

Your vendors are under structural pressure. When a company’s stock drops 46% while revenue grows 23%, the market is telling you something about the future of that business model. That pressure will flow downhill to you through higher renewal costs, bundled AI at premium prices, and potential acquisitions by private equity firms running extraction playbooks.

Your renewal leverage has never been higher. SaaS companies with decelerating growth and compressed valuations need to retain revenue. That makes renewal negotiations asymmetric in your favor for the first time in years. If you haven’t audited your SaaS spend against actual value delivered, do it now.

The AI features your vendors are selling aren’t the AI you need. Bolt-on AI bolted onto legacy architecture doesn’t become AI-native. We’ve written about why this distinction matters and how to tell the difference. When your vendor charges premium credits for AI enrichment that doesn’t even link company records to contact records (as HubSpot Breeze users have been loudly documenting) you’re paying for a marketing narrative, not a capability advantage.

The architecture decision is now. The split in the public market reflects a split in architecture. Companies built on open, composable, AI-native infrastructure (the Sovereign Stack) are positioned where the market is flowing: toward consumption-based value, agent-compatible systems, and data ownership. Companies locked into monolithic, seat-based platforms are positioned where the market is contracting.

This doesn’t mean you rip out your entire stack tomorrow. It means you start the transition on the layer with the highest return and lowest risk. For most companies, that’s the web and CMS layer. It’s the most visible asset, with the clearest migration path and the most immediate performance improvement. It’s also the layer where AI agents can operate natively from day one, turning your website into a system that learns, adapts, and generates pipeline autonomously instead of sitting as a static brochure waiting to be maintained.


06 / Where the evidence landed

What did the original SaaSpocalypse thesis get right?

When we published The SaaSpocalypse analysis, the market had just lost $800 billion in five trading days. Our thesis was straightforward: the per-seat SaaS model is structurally threatened by AI agents, the repricing is rational, and mid-market companies should use the moment to rethink their relationship with the platforms they depend on.

Four months later, the data has validated every element.

Seat compression would reshape how software is valued. Software hit the lowest multiple in cloud computing history. The market now explicitly prices AI-defensibility, not growth rate alone. Two companies growing at the same rate can trade 280 points apart based on how exposed they are to seat compression. The mechanism is already scaling: multi-agent systems grew 327% in four months, replacing coordinated human workflows that used to require seats across multiple SaaS tools.

Bolt-on AI wouldn’t reverse the repricing. Every major SaaS vendor shipped AI features in Q1 2026. Salesforce rebranded around Agentforce. HubSpot pushed Breeze. The consensus in March was that AI pivots would stop the bleeding, but they didn’t. The market rewarded genuine AI revenue (Salesforce: $1.2B ARR from Agentforce) and kept punishing the companies where AI was cosmetic. Rebranding isn’t restructuring.

AI-native architecture would win the next decade. The split proved it. Infrastructure and AI-native companies are at all-time highs. Seat-based application companies are at multi-year lows. The same instinct is showing up in enterprise infrastructure decisions — 93% are pulling AI workloads back to private infrastructure because ownership beats renting at every layer. The market is running the experiment in real time, and the results are unambiguous.


The SaaSpocalypse isn’t over. The acute phase (the crash) has stabilized. But the structural repricing, the divide between AI-native and legacy software, the collapse of the per-seat growth model, the vendor desperation that will reshape every SaaS contract negotiation for the next three years: all of that is still accelerating.

For Lynton’s clients and the mid-market companies navigating this transition: the bottom in March was the cheapest it will ever be to start the move. The “recovery” isn’t a return to normal. It’s the market telling you exactly which side of the split to be on.

We’ve spent 27 years building for the web and 16 years inside the SaaS ecosystem. We know what the pressure looks like from the inside. We know what the alternative architecture looks like when you decide to stop renting software and start owning your infrastructure. And we know what happens on the other side: your data becomes the training set for proprietary AI agents, your marketing velocity is no longer gated by platform limitations, and your technology stack becomes a strategic asset on your balance sheet instead of an operating expense on someone else’s.

The era where software got a premium just for being software is not coming back. What replaces it is already here.

Notes & Sources

1Source: Jason Lemkin / SaaStr, "The SaaSpocalypse Is Officially Over. Public Software Is Back to Green at the Index Level. But The Gains Aren't Remotely Even." May 29, 2026. YTD stock performance data and sector analysis.
2Source: HubSpot Q1 2026 earnings release, May 7, 2026. Revenue: $881M (+23% YoY). Non-GAAP EPS: $2.72 (+53% YoY). Non-GAAP operating margin: 18%. ~300,000 customers (+16% YoY). GAAP net income: ~$32.6M.
3Source: Jason Lemkin / SaaStr, "The SaaS Rout of 2026 Is Even Worse Than You Think. For the First Time Ever, Software Now Trades at a Discount to the S&P 500." March 2026. Software forward P/E multiple history: 84.1x (2020) → 22.7x (March 2026). IGV ETF data. Orlando Bravo quote on "warranted" repricing.
4Source: Fortune, "The SaaSpocalypse is here," February 10, 2026. Bloomberg Terminal data. ~$2 trillion in total software sector market cap erased.
5Source: ChartMill / StockStory, reporting on HubSpot post-earnings selloff, May 7, 2026. Stock dropped ~12% after hours despite Q1 beat.
6Source: HubSpot Q2 2026 revenue guidance: $897–898M (~18% YoY growth, decelerating from Q1's 23%). Full-year 2026 guidance: $3.700–$3.708B.
7Source: Salesforce Q1 FY2027 earnings release (quarter ended April 30, 2026), May 27, 2026. Revenue: $11.13B (+13% YoY). Agentforce ARR: $1.2B (+205% YoY). Combined AI and data ARR: ~$3.4B (+200% YoY). Non-GAAP EPS: $3.88 (beat by ~$0.76).
8Source: Forrester, "SaaS As We Know It Is Dead: How To Survive The SaaS-pocalypse!" February 11, 2026.
9Source: Forrester global SaaS spending forecast: $318B (2025) → $512B (2028) → $576B (2029). From same February 2026 analysis.
10Source: Multiple industry analyses project 80–90%+ failure rates for AI wrapper startups, with ~3% long-term survival for pure wrappers (McKinsey). ~3,800 shutdowns in 2025 + ~1,800 in early 2026 reported across various tracking sources.
11Source: SVB / PitchBook data, 2025. AI/ML deals captured 65.6% of U.S. venture deal value (~$222B of $339B total). AI-native SaaS commands 40%+ valuation premiums over traditional SaaS.

Frequently asked questions

At the index level, yes. The cap-weighted public software basket returned to green in May 2026. But the recovery is driven by AI infrastructure names (DigitalOcean +227%, Datadog +76%, CrowdStrike +55%) while seat-based application companies remain deeply negative (Klaviyo -52%, HubSpot -46%, Monday.com -45%). The structural forces that caused the crash have not changed.
HubSpot's Q1 2026 revenue hit $881 million (+23% YoY) with strong margins and profitability. The stock dropped because Q2 guidance implied deceleration to 18% growth. For a company priced on compounding seat-driven growth, a downshift from 23% to 18% isn't a miss — it's a thesis change. The market is pricing model risk, not quarterly performance.
Software hit a 22.7x forward P/E multiple in March 2026, below the S&P 500 for the first time in cloud computing history. The compression reflects a structural repricing: if AI agents replace the humans paying for SaaS seats, the growth assumptions embedded in software valuations break. This is not cyclical — it's a permanent shift in how the market values per-seat software.
AI infrastructure companies (cloud, observability, security) benefit from AI deployment as a growth multiplier — more agents means more compute, monitoring, and security. Seat-based application companies (CRM, marketing automation, project management) face AI as an existential threat to their pricing model. The YTD spread between top winner DigitalOcean (+227%) and top loser Klaviyo (-52%) is nearly 280 points.
Three actions: audit your SaaS spend against actual value delivered (your renewal leverage has never been higher), reject bolt-on AI features that are marketing narratives rather than capability upgrades, and begin transitioning to composable AI-native infrastructure starting with the layer that has the highest return and lowest risk — typically the web and CMS layer.
SaaS companies with decelerating growth and compressed valuations need to retain revenue, making renewal negotiations asymmetric in buyers' favor. Expect higher renewal costs, bundled AI features at premium prices, reduced R&D investment in core product, and potential acquisitions by private equity firms running extraction playbooks. The vendor's structural pressure becomes your operational risk.
It split. The acute phase (the crash) stabilized, but the structural repricing accelerated. Infrastructure and AI-native companies trade at all-time highs. Seat-based application companies trade at multi-year lows. Forrester projects global SaaS spending growing to $512 billion by 2028, but the dollars are flowing away from seat-based application software toward AI infrastructure and consumption-based platforms.

Stay Informed

New insights, delivered.

Strategic analysis and insider perspective on the shift from legacy SaaS to AI-native infrastructure.

How exposed is your stack to the split?

See which side of the split you're on

Our free AI website assessment scans your tech stack and shows you where the structural pressure hits hardest. 60 seconds.